Overview
Remote
On Site
USD50 - USD60 per hour, Benefits: $50-60/hr
Full Time
Skills
Engineer
Engineering
Job Details
Data Scientist Safety & NLP
We're looking for a Data Scientist to support safety-focused machine learning work involving LLMs, NLP, and data analysis. Ideal candidates have experience designing experiments, labeling data, and analyzing outputs especially in the context of content classification or AI safety.
Required:
Run and analyze LLM experiments with a focus on safety classification
Support data collection, labeling, and quality review
Conduct data preprocessing and statistical analysis in Python
Assist with model evaluation and results interpretation
Collaborate with cross-functional teams to improve model workflows
Pluses:
1 2 years in data science, NLP, or machine learning support
Proficiency in Python and tools like pandas, NumPy, scikit-learn
Experience working with LLMs and data labeling pipelines
Familiarity with safety or sensitive content classification
Prior work at Google or similar environments a plus
Estimated Min Rate: $50.00
Estimated Max Rate: $60.00
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
We're looking for a Data Scientist to support safety-focused machine learning work involving LLMs, NLP, and data analysis. Ideal candidates have experience designing experiments, labeling data, and analyzing outputs especially in the context of content classification or AI safety.
Required:
Run and analyze LLM experiments with a focus on safety classification
Support data collection, labeling, and quality review
Conduct data preprocessing and statistical analysis in Python
Assist with model evaluation and results interpretation
Collaborate with cross-functional teams to improve model workflows
Pluses:
1 2 years in data science, NLP, or machine learning support
Proficiency in Python and tools like pandas, NumPy, scikit-learn
Experience working with LLMs and data labeling pipelines
Familiarity with safety or sensitive content classification
Prior work at Google or similar environments a plus
Estimated Min Rate: $50.00
Estimated Max Rate: $60.00
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.